Validation of Esaso Classification of Diabetic Maculopathy

Author:

Panozzo Giacomo1,Franzolin Elia2ORCID,Giannarelli Diana3,Dalla Mura Giulia1ORCID,Longo Rosa2ORCID,Cicinelli Maria Vittoria4ORCID,Angelini Edoardo,Airaghi Pietro,Avitabile Teresio,Bandello Francesco,Beccastrini Andrea,Benedetti Giorgia,Bertuzzi Federico,Bonfiglio Vincenza Maria Elena,Boscia Francesco,Carnevali Adriano,Carosielli Marianna,Cereda Matteo Giuseppe,Contardi Cecilia,Coppola Michele,Costagliola Ciro,Cristofolini Riccardo,Cucciniello Pasquale,D’Aloisio Rossella,De Bernardo Maddalena,De Filippis Alessandro,Dell’Omo Roberto,Di Paola Ilenia,Dell’Acqua Matteo,Franco Alessio,Grassi Maria Oliva,Gregori Giulia,Gusson Elena,Lattanzio Rosangela,Lanzetta Paolo,Longo Antonio,Marchini Giorgio,Marolo Paola,Mastropasqua Rodolfo,Bertoldo Giuliana Mele,Monteleone Giuseppina,Ortisi Elina,Parisi Guglielmo,Parrulli Salvatore,Pucci Porzia,Pastore Marco Rocco,Reibaldi Michele,Rizzo Stanislao,Romano Francesco,Rosa Nicola,Sarao Valentina,Scarpa Giuseppe,Scorcia Vincenzo,Scupola Andrea,Staurenghi Giovanni,Sunseri Trapani Valentina,Tognetto Daniele,Trabucchi Giuseppe,Vaccaro Sabrina,Vadalà Maria,Veritti Daniele,Vinciguerra Alex Lucia,Zanzottera Emma Clara

Affiliation:

1. ESASO European School of Advances Studies in Ophthalmology, Lugano, Switzerland

2. Ophthalmic Unit, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy

3. Epidemiology and Biostatistics, Gemelli IRCCS, Rome, Italy

4. Department of Ophthalmology, IRCCS San Raffaele Scientific Institute, Milan, Italy

Abstract

Purpose To test reliability and reproducibility of ESASO morphologic OCT-based classification of diabetic maculopathy (DM). Methods This is a multi-center cross-sectional study including a coordination center (CC) and 18 participating centers (PCs). After instruction on the correct use of ESASO Classification, the validation process was carried out in two consecutive stages. In the first retrospective phase, we evaluated the concordance between PCs and CC in the staging of OCT images collected during PCs’ daily activity (608 images). In a second prospective phase, we analyzed the inter-observer agreement of staging assigned by each PCs to OCT images selected by the CC (22 images). Results The overall concordance achieved in the retrospective phase was 89.8% (Kappa = 0.83 (95% CI: 0.78–0.87); p<0.0001). In 99.5% of cases, concordance did not differ by more than one stage. In the prospective phase, PCs reached an inter-operator agreement of 93.0% (Krippendorff's Alpha = 0.953, 95% CI: 0.929–0.977, p<0.0001). Any discrepancy among the 22 images was within one stage. Conclusion The results achieved in this study confirm that ESASO OCT-based Classification can be considered as an easy and reproducible method to stage DM during clinical practice. A diffused use of a common and validated method to describe the progression of retinal damage in DM may offer several clinical and scientific advantages.

Publisher

SAGE Publications

Subject

Ophthalmology,General Medicine

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